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ML Engineer

Hybrid in Mesa, AZ, US • Posted 14 hours ago • Updated 14 hours ago

Contract Independent

Contract W2

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

🫥 Flibbertigibetting...

Job Details

Skills

Deep Learning
Computer Vision
Machine Learning (ML)
PyTorch
Python
YOLO

Summary

NOTES:

Looking for 2-3 yrs experience here
Computer vision and deep learning experience
Must have experience with Python and Pytorch and YOLO
SQL exposure, working on queries is a nice to have
Strong background in object detection and classification
Proven experience with custom model training (not just fine-tuning)

We are seeking a ML/CV Engineer to support the modernization of two core production models within our computer vision platform. This is a hands-on contract role focused on model retraining and architectural improvements to significantly improve detection and classification accuracy. The engineer will collaborate closely with our internal team and operate with minimal oversight.

Project Scope & Objectives

The engineer will contribute to upgrading two existing computer vision systems:

Vehicle Detection System

Current detection confidence: ~60%
Target detection confidence: 80%+
Approach may include model retraining and/or architectural redesign

License Plate Error Classification Model

Current accuracy: ~90%
Target accuracy: 98%
Required high-confidence prediction rate: 80%+

The solution approach is not fully defined; the selected candidate will work collaboratively with the team to identify and implement the best technical solution.

Responsibilities

Retrain and improve existing computer vision models to meet defined accuracy and confidence targets
Assist with model redesign where necessary
Build, curate, and manage training datasets
Evaluate model performance and perform systematic tuning
Apply best practices for model validation and accuracy improvement
Collaborate with senior engineers while independently completing assigned tasks
Deliver high-quality results with minimal oversight

Required Skills & Experience

2+ years of real-world project experience in computer vision
Strong background in object detection and classification
Proven experience with custom model training (not just fine-tuning)
Solid understanding of:

Dataset preparation and labeling strategies
Model evaluation metrics and validation techniques
Model tuning and performance optimization

Hands-on experience with:

PyTorch (required)
YOLO (required)
Vision Transformers (ViT) (required)

Strong Python skills

Technology Stack

Programming Language: Python
Frameworks: PyTorch (primary), TensorFlow (optional)
DevOps / Tooling: Azure DevOps
Cloud Experience: AWS not required
ML Lifecycle Tools (e.g., MLflow): Not required

Working Style & Expectations

Ability to work with minimal oversight
Comfortable collaborating in an exploratory environment where solutions are still being defined
Capable of independently completing assigned tasks with high quality and reliability

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10267472
Position Id: 8961777
Posted 14 hours ago

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